Tal Arbel - RankMe

196 papers A* 6A 3B 3Journal 91Unranked 81

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AURA: A Multi-Modal Medical Agent for Understanding, Reasoning & Annotation. CoRR Nima Fathi, Amar Kumar, Tal Arbel
2025	—	`conf`	AURA: A Multi-modal Medical Agent for Understanding, Reasoning and Annotation. Agentic AI/CREATE/Clinical MLLMs@MICCAI Nima Fathi, Amar Kumar, Tal Arbel
2025	—	`conf`	Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses. ICCVW Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel
2025	J	`jnl`	Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses. CoRR Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel
2025	J	`jnl`	Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free. CoRR Gian Mario Favero, Parham Saremi, Emily Kaczmarek, Brennan Nichyporuk, Tal Arbel
2025	J	`jnl`	Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation. CoRR Bailey Trang, Parham Saremi, Alan Q. Wang, Fangrui Huang, Zahra Tehraninasab, Amar Kumar, Tal Arbel, Li Fei-Fei, Ehsan Adeli
2025	—	`conf`	Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification. MICCAI (7) Xing Shen, Justin Szeto, Mingyang Li, Hengguan Huang, Tal Arbel
2025	J	`jnl`	Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification. CoRR Xing Shen, Justin Szeto, Mingyang Li, Hengguan Huang, Tal Arbel
2025	J	`jnl`	Hyperfusion: A hypernetwork approach to multimodal integration of tabular and medical imaging data for predictive modeling. Medical Image Anal. Daniel Duenias, Brennan Nichyporuk, Tal Arbel, Tammy Riklin Raviv
2025	—	`conf`	Imagining Alternatives: Towards High-Resolution 3D Counterfactual Medical Image Generation via Language Guidance. ELAMI@MICCAI Mohamed Mohamed, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel
2025	J	`jnl`	Imagining Alternatives: Towards High-Resolution 3D Counterfactual Medical Image Generation via Language Guidance. CoRR Mohamed Mohamed, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel
2025	J	`jnl`	Improving Robustness and Reliability in Medical Image Classification With Latent-Guided Diffusion and Nested-Ensembles. IEEE Trans. Medical Imaging Xing Shen, Hengguan Huang, Brennan Nichyporuk, Tal Arbel
2025	—	`conf`	Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation. CVPR Workshops Zahra Tehraninasab, Amar Kumar, Tal Arbel
2025	J	`jnl`	Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation. CoRR Zahra Tehraninasab, Amar Kumar, Tal Arbel
2025	—	`conf`	Leveraging Vision-Language Foundation Models to Reveal Hidden Image-Attribute Relationships in Medical Imaging. CVPR Workshops Amar Kumar, Anita Kriz, Barak Pertzov, Tal Arbel
2025	J	`jnl`	Leveraging Vision-Language Foundation Models to Reveal Hidden Image-Attribute Relationships in Medical Imaging. CoRR Amar Kumar, Anita Kriz, Barak Pertzov, Tal Arbel
2025	J	`jnl`	PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion. CoRR Amar Kumar, Anita Kriz, Mohammad Havaei, Tal Arbel
2025	—	`conf`	Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images. DGM4MICCAI@MICCAI Zahra Tehraninasab, Hujun Ni, Amar Kumar, Tal Arbel
2025	J	`jnl`	Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images. CoRR Zahra Tehraninasab, Amar Kumar, Tal Arbel
2025	—	`conf`	Pixels Under Pressure: Exploring Fine-Tuning Paradigms for Foundation Models in High-Resolution Medical Imaging. ELAMI@MICCAI Zahra Tehraninasab, Amar Kumar, Tal Arbel
2025	J	`jnl`	Pixels Under Pressure: Exploring Fine-Tuning Paradigms for Foundation Models in High-Resolution Medical Imaging. CoRR Zahra Tehraninasab, Amar Kumar, Tal Arbel
2025	—	`conf`	Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models. ICCVW Anita Kriz, Elizabeth Laura Janes, Xing Shen, Tal Arbel
2025	J	`jnl`	Prompt4Trust: A Reinforcement Learning Prompt Augmentation Framework for Clinically-Aligned Confidence Calibration in Multimodal Large Language Models. CoRR Anita Kriz, Elizabeth Laura Janes, Xing Shen, Tal Arbel
2025	—	`conf`	RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation Using Vision-Language Foundation Models. MICCAI (4) Parham Saremi, Amar Kumar, Mohammed Mohammed, Zahra Tehraninasab, Tal Arbel
2025	J	`jnl`	RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models. CoRR Parham Saremi, Amar Kumar, Mohammed Mohammed, Zahra Tehraninasab, Tal Arbel
2025	J	`jnl`	SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets. CoRR Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel
2025	—	`conf`	SSL-AD: Spatiotemporal Self-supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets. LMID@MICCAI Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel
2025	—	`conf`	Spatio-Temporal Conditional Diffusion Models for Forecasting Future Multiple Sclerosis Lesion Masks Conditioned on Treatments. LMID@MICCAI Gian Mario Favero, Ge Ya Luo, Nima Fathi, Justin Szeto, Douglas L. Arnold, Brennan Nichyporuk, Chris Pal, Tal Arbel
2025	J	`jnl`	Spatio-Temporal Conditional Diffusion Models for Forecasting Future Multiple Sclerosis Lesion Masks Conditioned on Treatments. CoRR Gian Mario Favero, Ge Ya Luo, Nima Fathi, Justin Szeto, Douglas L. Arnold, Brennan Nichyporuk, Chris Pal, Tal Arbel
2025	J	`jnl`	The role of AI for MRI-analysis in multiple sclerosis - A brief overview. Frontiers Artif. Intell. Jean-Pierre R. Falet, Steven Nobile, Aliya Szpindel, Berardino Barile, Amar Kumar, Joshua Durso-Finley, Tal Arbel, Douglas L. Arnold
2024	—	`conf`	DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations. MIDL Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel
2024	J	`jnl`	DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations. CoRR Nima Fathi, Amar Kumar, Brennan Nichyporuk, Mohammad Havaei, Tal Arbel
2024	J	`jnl`	HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling. CoRR Daniel Duenias, Brennan Nichyporuk, Tal Arbel, Tammy Riklin Raviv
2024	—	`conf`	Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs. MICCAI (3) Joshua Durso-Finley, Berardino Barile, Jean-Pierre R. Falet, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
2024	J	`jnl`	Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs. CoRR Joshua Durso-Finley, Berardino Barile, Jean-Pierre R. Falet, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
2023	J	`jnl`	Debiasing Counterfactuals In the Presence of Spurious Correlations. CoRR Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel
2023	—	`conf`	Debiasing Counterfactuals in the Presence of Spurious Correlations. CLIP/FAIMI/EPIMI@MICCAI Amar Kumar, Nima Fathi, Raghav Mehta, Brennan Nichyporuk, Jean-Pierre R. Falet, Sotirios A. Tsaftaris, Tal Arbel
2023	—	`conf`	Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis. MIDL Raghav Mehta, Changjian Shui, Tal Arbel
2023	J	`jnl`	Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis. CoRR Raghav Mehta, Changjian Shui, Tal Arbel
2023	—	`conf`	Exploring Compound Loss Functions for Brain Tumor Segmentation. BraTS/CrossMoDA@MICCAI Anita Kriz, Raghav Mehta, Brennan Nichyporuk, Tal Arbel
2023	J	`jnl`	Grow-push-prune: Aligning deep discriminants for effective structural network compression. Comput. Vis. Image Underst. Qing Tian, Tal Arbel, James J. Clark
2023	—	`conf`	Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models. MICCAI (5) Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
2023	J	`jnl`	Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models. CoRR Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel
2023	J	`jnl`	Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles. CoRR Xing Shen, Hengguan Huang, Brennan Nichyporuk, Tal Arbel
2023	J	`jnl`	Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation. CoRR Junde Wu, Rao Fu, Huihui Fang, Yuanpei Liu, Zhaowei Wang, Yanwu Xu, Yueming Jin, Tal Arbel
2023	—	`conf`	Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. MICCAI (3) Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel
2023	J	`jnl`	Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. CoRR Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel
2023	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
2022	J	`jnl`	Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors. CoRR Anjun Hu, Jean-Pierre R. Falet, Brennan S. Nichyporuk, Changjian Shui, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2022	—	`conf`	Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. AIIIMA/MIABID@MICCAI Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2022	J	`jnl`	Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. CoRR Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2022	—	`conf`	Heatmap Regression for Lesion Detection Using Pointwise Annotations. MILLanD@MICCAI Chelsea Myers-Colet, Julien Schroeter, Douglas L. Arnold, Tal Arbel
2022	J	`jnl`	Heatmap Regression for Lesion Detection using Pointwise Annotations. CoRR Chelsea Myers-Colet, Julien Schroeter, Douglas L. Arnold, Tal Arbel
2022	—	`conf`	Information Gain Sampling for Active Learning in Medical Image Classification. UNSURE@MICCAI Raghav Mehta, Changjian Shui, Brennan Nichyporuk, Tal Arbel
2022	J	`jnl`	Information Gain Sampling for Active Learning in Medical Image Classification. CoRR Raghav Mehta, Changjian Shui, Brennan Nichyporuk, Tal Arbel
2022	J	`jnl`	Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
2022	A*	`conf`	On Learning Fairness and Accuracy on Multiple Subgroups. NeurIPS Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné
2022	J	`jnl`	On Learning Fairness and Accuracy on Multiple Subgroups. CoRR Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles Ling, Tal Arbel, Boyu Wang, Christian Gagné
2022	—	`conf`	Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI. MIDL Joshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel
2022	J	`jnl`	Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI. CoRR Joshua Durso-Finley, Jean-Pierre R. Falet, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel
2022	J	`jnl`	Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference. IEEE Trans. Medical Imaging Raghav Mehta, Thomas Christinck, Tanya Nair, Aurélie Bussy, Swapna Premasiri, Manuela Costantino, M. Mallar Chakravarthy, Douglas L. Arnold, Yarin Gal, Tal Arbel
2022	J	`jnl`	Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation. CoRR Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2022	—	`conf`	Segmentation-Consistent Probabilistic Lesion Counting. MIDL Julien Schroeter, Chelsea Myers-Colet, Douglas L. Arnold, Tal Arbel
2022	J	`jnl`	Segmentation-Consistent Probabilistic Lesion Counting. CoRR Julien Schroeter, Chelsea Myers-Colet, Douglas L. Arnold, Tal Arbel
2021	—	`conf`	Accounting for Variance in Machine Learning Benchmarks. MLSys Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
2021	J	`jnl`	Accounting for Variance in Machine Learning Benchmarks. CoRR Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
2021	—	`conf`	Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. DART/FAIR@MICCAI Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel
2021	J	`jnl`	Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. CoRR Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel
2021	J	`jnl`	Common Limitations of Image Processing Metrics: A Picture Story. CoRR Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein
2021	—	`conf`	HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images. MIDL Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel
2021	J	`jnl`	HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images. CoRR Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel
2021	J	`jnl`	Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting. CoRR Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold, Tal Arbel
2021	J	`jnl`	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
2021	J	`jnl`	Task dependent deep LDA pruning of neural networks. Comput. Vis. Image Underst. Qing Tian, Tal Arbel, James J. Clark
2020	J	`jnl`	BIAS: Transparent reporting of biomedical image analysis challenges. Medical Image Anal. Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman
2020	—	`conf`	CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images. ISBI Nazanin Mohammadi Sepahvand, Douglas L. Arnold, Tal Arbel
2020	J	`jnl`	Deep discriminant analysis for task-dependent compact network search. CoRR Qing Tian, Tal Arbel, James J. Clark
2020	J	`jnl`	Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation. Medical Image Anal. Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel
2020	—	`ed.`	International Conference on Medical Imaging with Deep Learning, MIDL 2020, 6-8 July 2020, Montréal, QC, Canada. MIDL Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Hervé Lombaert, Christopher Pal
2020	J	`jnl`	Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track. CoRR Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal
2020	J	`jnl`	Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration. CoRR Boris N. Oreshkin, Tal Arbel
2020	J	`jnl`	Uncertainty Evaluation Metric for Brain Tumour Segmentation. CoRR Raghav Mehta, Angelos Filos, Yarin Gal, Tal Arbel
2020	J	`jnl`	Uncertainty driven probabilistic voxel selection for image registration. CoRR Boris N. Oreshkin, Tal Arbel
2020	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings UNSURE/GRAIL@MICCAI Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells III, Aristeidis Sotiras, Bartlomiej W. Papiez, Enzo Ferrante, Sarah Parisot
2019	J	`jnl`	BIAS: Transparent reporting of biomedical image analysis challenges. CoRR Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman
2019	—	`conf`	Improving Pathological Structure Segmentation via Transfer Learning Across Diseases. DART/MIL3ID@MICCAI Barleen Kaur, Paul Lemaître, Raghav Mehta, Nazanin Mohammadi Sepahvand, Doina Precup, Douglas L. Arnold, Tal Arbel
2019	—	`conf`	Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data. MIDL Adrian Tousignant, Paul Lemaître, Doina Precup, Douglas L. Arnold, Tal Arbel
2019	—	`conf`	Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference. UNSURE/CLIP@MICCAI Raghav Mehta, Thomas Christinck, Tanya Nair, Paul Lemaître, Douglas L. Arnold, Tal Arbel
2019	—	`conf`	Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI. BrainLes@MICCAI (1) Joshua Durso-Finley, Douglas L. Arnold, Tal Arbel
2019	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures - First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings UNSURE/CLIP@MICCAI Hayit Greenspan, Ryutaro Tanno, Marius Erdt, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Carole H. Sudre, William M. Wells III, Klaus Drechsler, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester
2018	—	`conf`	3D U-Net for Brain Tumour Segmentation. BrainLes@MICCAI (2) Raghav Mehta, Tal Arbel
2018	—	`conf`	CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels. BrainLes@MICCAI (1) Nazanin Mohammadi Sepahvand, Tal Hassner, Douglas L. Arnold, Tal Arbel
2018	—	`conf`	Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation. MICCAI (1) Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel
2018	J	`jnl`	Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation. CoRR Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel
2018	J	`jnl`	Fisher Pruning of Deep Nets for Facial Trait Classification. CoRR Qing Tian, Tal Arbel, James J. Clark
2018	—	`conf`	How to Exploit Weaknesses in Biomedical Challenge Design and Organization. MICCAI (4) Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic, Bennett A. Landman, Oskar Maier, Bjoern H. Menze, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen, Guoyan Zheng, Henning Müller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein
2018	J	`jnl`	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.
2018	J	`jnl`	Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider
2018	—	`conf`	RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours. SASHIMI@MICCAI Raghav Mehta, Tal Arbel
2018	J	`jnl`	RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours. CoRR Raghav Mehta, Tal Arbel
2018	J	`jnl`	Structured deep Fisher pruning for efficient facial trait classification. Image Vis. Comput. Qing Tian, Tal Arbel, James J. Clark
2017	—	`conf`	Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss. BrainLes@MICCAI Andrew Jesson, Tal Arbel
2017	—	`ed.`	Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures - 4th International Workshop, CARE 2017, and 6th International Workshop, CLIP 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings CARE/CLIP@MICCAI M. Jorge Cardoso, Tal Arbel, Xiongbiao Luo, Stefan Wesarg, Tobias Reichl, Miguel Ángel González Ballester, A. Jonathan McLeod, Klaus Drechsler, Terry M. Peters, Marius Erdt, Kensaku Mori, Marius George Linguraru, Andreas Uhl, Cristina Oyarzun Laura, Raj Shekhar
2017	—	`conf`	Deep LDA-Pruned Nets for Efficient Facial Gender Classification. CVPR Workshops Qing Tian, Tal Arbel, James J. Clark
2017	—	`ed.`	Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings DLMIA/ML-CDS@MICCAI M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu
2017	J	`jnl`	Efficient Gender Classification Using a Deep LDA-Pruned Net. CoRR Qing Tian, Tal Arbel, James J. Clark
2017	—	`ed.`	Fetal, Infant and Ophthalmic Medical Image Analysis - International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings FIFI/OMIA@MICCAI M. Jorge Cardoso, Tal Arbel, Andrew Melbourne, Hrvoje Bogunovic, Pim Moeskops, Xinjian Chen, Ernst Schwartz, Mona Kathryn Garvin, Emma C. Robinson, Emanuele Trucco, Michael Ebner, Yanwu Xu, Antonios Makropoulos, Adrien E. Desjardins, Tom Vercauteren
2017	—	`ed.`	Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings GRAIL/MFCA/MICGen@MICCAI M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang C. Joshi, Nematollah Kayhan Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer
2017	J	`jnl`	IBIS: an OR ready open-source platform for image-guided neurosurgery. Int. J. Comput. Assist. Radiol. Surg. Simon Drouin, Anna Kochanowska, Marta Kersten-Oertel, Ian J. Gerard, Rina Zelmann, Dante De Nigris, Silvain Bériault, Tal Arbel, Denis Sirhan, Abbas F. Sadikot, Jeffery A. Hall, David S. Sinclair, Kevin Petrecca, Rolando F. DelMaestro, D. Louis Collins
2017	—	`ed.`	Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound - International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings BIVPCS/POCUS@MICCAI M. Jorge Cardoso, Tal Arbel, João Manuel R. S. Tavares, Stephen R. Aylward, Shuo Li, Emad Boctor, Gabor Fichtinger, Kevin Cleary, Bradley Freeman, Luv Kohli, Deborah Shipley Kane, Matt Oetgen, Sonja Pujol
2017	—	`ed.`	Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings CVII-STENT/LABELS@MICCAI M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro
2017	—	`conf`	Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials. BrainLes@MICCAI Andrew Doyle, Colm Elliott, Zahra Karimaghaloo, Nagesh K. Subbanna, Douglas L. Arnold, Tal Arbel
2017	—	`ed.`	Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers MCV/BAMBI@MICCAI Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, Manual Jorge Cardoso, Georg Langs, Bjoern H. Menze, Dimitris N. Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C. S. Chung, Mark Jenkinson, Annemie Ribbens
2017	—	`ed.`	Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings CMMI/RAMBO/SWITCH@MICCAI M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian V. Dalca, Roland Wiest, Wiro J. Niessen, Bart J. Emmer
2017	—	`conf`	Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation. MICCAI (3) Andrew Doyle, Doina Precup, Douglas L. Arnold, Tal Arbel
2016	J	`jnl`	Adaptive multi-level conditional random fields for detection and segmentation of small enhanced pathology in medical images. Medical Image Anal. Zahra Karimaghaloo, Douglas L. Arnold, Tal Arbel
2016	J	`jnl`	Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis. Comput. Vis. Image Underst. Tal Arbel, Manuel Jorge Cardoso, William M. Wells III, Albert C. S. Chung, Doina Precup
2016	J	`jnl`	Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images. Medical Image Anal. Rashed Karim, Pranav Bhagirath, Piet Claus, Richard James Housden, Zhong Chen, Zahra Karimaghaloo, Hyon-Mok Sohn, Laura Lara Rodríguez, Sergio Vera, Xènia Albà, Anja Hennemuth, Heinz-Otto Peitgen, Tal Arbel, Miguel Ángel González Ballester, Alejandro F. Frangi, Marco Götte, Reza Razavi, Tobias Schaeffter, Kawal S. Rhode
2016	J	`jnl`	Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos. IEEE Trans. Pattern Anal. Mach. Intell. Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel
2016	B	`conf`	Shannon information based adaptive sampling for action recognition. ICPR Qing Tian, Tal Arbel, James J. Clark
2016	—	`conf`	Towards a Second Brain Images of Tumours for Evaluation (BITE2) Database. BrainLes@MICCAI Ian J. Gerard, C. Couturier, Marta Kersten-Oertel, Simon Drouin, Dante De Nigris, Jeffery A. Hall, Kelvin Mok, Kevin Petrecca, Tal Arbel, D. Louis Collins
2015	—	`conf`	Fast and efficient image registration based on gradient orientations of minimal uncertainty. ISBI Tal Arbel, Dante De Nigris
2015	J	`jnl`	Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos. Comput. Vis. Image Underst. Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel
2015	—	`conf`	IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI. IPMI Nagesh K. Subbanna, Doina Precup, Douglas L. Arnold, Tal Arbel
2015	—	`conf`	Improving Patient Specific Neurosurgical Models with Intraoperative Ultrasound and Augmented Reality Visualizations in a Neuronavigation Environment. CLIP@MICCAI Ian J. Gerard, Marta Kersten-Oertel, Simon Drouin, Jeffery A. Hall, Kevin Petrecca, Dante De Nigris, Tal Arbel, D. Louis Collins
2015	J	`jnl`	Probabilistic Multiple Sclerosis Lesion Classification Based on Modeling Regional Intensity Variability and Local Neighborhood Information. IEEE Trans. Biomed. Eng. Rola Harmouche, Nagesh K. Subbanna, D. Louis Collins, Douglas L. Arnold, Tal Arbel
2015	J	`jnl`	Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI. IEEE Trans. Medical Imaging Zahra Karimaghaloo, Hassan Rivaz, Douglas L. Arnold, D. Louis Collins, Tal Arbel
2015	J	`jnl`	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput
2014	—	`conf`	A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions. BAMBI Colm Elliott, Douglas L. Arnold, D. Louis Collins, Tal Arbel
2014	—	`ed.`	Bayesian and grAphical Models for Biomedical Imaging - First International Workshop, BAMBI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers BAMBI Manuel Jorge Cardoso, Ivor J. A. Simpson, Tal Arbel, Doina Precup, Annemie Ribbens
2014	A*	`conf`	Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI. CVPR Nagesh K. Subbanna, Doina Precup, Tal Arbel
2014	B	`conf`	Multi-layer temporal graphical model for head pose estimation in real-world videos. ICIP Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel
2014	—	`conf`	Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model. ECCV (1) Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel
2014	J	`jnl`	Robust semi-automatic head pose labeling for real-world face video sequences. Multim. Tools Appl. Meltem Demirkus, James J. Clark, Tal Arbel
2014	—	`conf`	SymBA: Diffeomorphic Registration Based on Gradient Orientation Alignment and Boundary Proximity of Sparsely Selected Voxels. WBIR Dante De Nigris, D. Louis Collins, Tal Arbel
2013	—	`conf`	Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI. MICCAI (3) Zahra Karimaghaloo, Hassan Rivaz, Douglas L. Arnold, D. Louis Collins, Tal Arbel
2013	J	`jnl`	Fast rigid registration of pre-operative magnetic resonance images to intra-operative ultrasound for neurosurgery based on high confidence gradient orientations. Int. J. Comput. Assist. Radiol. Surg. Dante De Nigris, D. Louis Collins, Tal Arbel
2013	—	`conf`	Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes. MICCAI (1) Nagesh K. Subbanna, Doina Precup, D. Louis Collins, Tal Arbel
2013	J	`jnl`	Temporally Consistent Probabilistic Detection of New Multiple Sclerosis Lesions in Brain MRI. IEEE Trans. Medical Imaging Colm Elliott, Douglas L. Arnold, D. Louis Collins, Tal Arbel
2013	J	`jnl`	Uncertainty Driven Probabilistic Voxel Selection for Image Registration. IEEE Trans. Medical Imaging Boris N. Oreshkin, Tal Arbel
2012	J	`jnl`	Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields. IEEE Trans. Medical Imaging Zahra Karimaghaloo, Mohak Shah, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, Tal Arbel
2012	—	`conf`	Fast and Robust Registration Based on Gradient Orientations: Case Study Matching Intra-operative Ultrasound to Pre-operative MRI in Neurosurgery. IPCAI Dante De Nigris, D. Louis Collins, Tal Arbel
2012	—	`conf`	Hierarchical Conditional Random Fields for Detection of Gad-Enhancing Lesions in Multiple Sclerosis. MICCAI (2) Zahra Karimaghaloo, Douglas L. Arnold, D. Louis Collins, Tal Arbel
2012	—	`conf`	Hierarchical Conditional Random Fields for Myocardium Infarction Detection. STACOM Zahra Karimaghaloo, Hassan Rivaz, Tal Arbel
2012	J	`jnl`	Multi-Modal Image Registration Based on Gradient Orientations of Minimal Uncertainty. IEEE Trans. Medical Imaging Dante De Nigris, D. Louis Collins, Tal Arbel
2012	—	`conf`	Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-resolution Image Registration. WBIR Boris N. Oreshkin, Tal Arbel
2012	—	`conf`	Soft biometric trait classification from real-world face videos conditioned on head pose estimation. CVPR Workshops Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel
2011	—	`conf`	Adapted MRF Segmentation of Multiple Sclerosis Lesions Using Local Contextual Information. MIUA Nagesh K. Subbanna, Simon J. Francis, Doina Precup, D. Louis Collins, Douglas L. Arnold, Tal Arbel
2011	J	`jnl`	Evaluating intensity normalization on MRIs of human brain with multiple sclerosis. Medical Image Anal. Mohak Shah, Yiming Xiao, Nagesh K. Subbanna, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, Tal Arbel
2011	J	`jnl`	Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge. IEEE Trans. Medical Imaging Keelin Murphy, Bram van Ginneken, Joseph M. Reinhardt, Sven Kabus, Kai Ding, Xiang Deng, Kunlin Cao, Kaifang Du, Gary E. Christensen, Vincent Garcia, Tom Vercauteren, Nicholas Ayache, Olivier Commowick, Grégoire Malandain, Ben Glocker, Nikos Paragios, Nassir Navab, Vladlena Gorbunova, Jon Sporring, Marleen de Bruijne, Xiao Han, Mattias P. Heinrich, Julia A. Schnabel, Mark Jenkinson, Cristian Lorenz, Marc Modat, Jamie McClelland, Sébastien Ourselin, Sascha E. A. Muenzing, Max A. Viergever, Dante De Nigris, D. Louis Collins, Tal Arbel, Marta Peroni, Rui Li, Gregory C. Sharp, Alexander Schmidt-Richberg, Jan Ehrhardt, René Werner, Dirk Smeets, Dirk Loeckx, Gang Song, Nicholas J. Tustison, Brian B. Avants, James C. Gee, Marius Staring, Stefan Klein, Berend C. Stoel, Martin Urschler, Manuel Werlberger, Jef Vandemeulebroucke, Simon Rit, David Sarrut, Josien P. W. Pluim
2011	J	`jnl`	Learning to estimate out-of-plane motion in ultrasound imagery of real tissue. Medical Image Anal. Catherine Laporte, Tal Arbel
2011	B	`conf`	Spatial and probabilistic codebook template based head pose estimation from unconstrained environments. ICIP Meltem Demirkus, Boris N. Oreshkin, James J. Clark, Tal Arbel
2010	—	`conf`	Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images. MICCAI (2) Colm Elliott, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, Tal Arbel
2010	—	`conf`	Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields. MICCAI (3) Zahra Karimaghaloo, Mohak Shah, Simon J. Francis, Douglas L. Arnold, D. Louis Collins, Tal Arbel
2010	—	`conf`	Exploring Cortical Folding Pattern Variability Using Local Image Features. MCV Rishi Rajalingham, Matthew Toews, D. Louis Collins, Tal Arbel
2010	J	`jnl`	Feature-based morphometry: Discovering group-related anatomical patterns. NeuroImage Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel
2010	—	`conf`	Gender classification from unconstrained video sequences. CVPR Workshops Meltem Demirkus, Matthew Toews, James J. Clark, Tal Arbel
2010	J	`jnl`	Generalizing Inverse Compositional and ESM Image Alignment. Int. J. Comput. Vis. Rupert Brooks, Tal Arbel
2010	—	`conf`	Hierarchical Multimodal Image Registration Based on Adaptive Local Mutual Information. MICCAI (2) Dante De Nigris, Laurence Mercier, Rolando Del Maestro, D. Louis Collins, Tal Arbel
2010	—	`conf`	Measurement Selection in Untracked Freehand 3D Ultrasound. MICCAI (1) Catherine Laporte, Tal Arbel
2010	—	`conf`	Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis. MLMI Yiming Xiao, Mohak Shah, Simon J. Francis, Douglas L. Arnold, Tal Arbel, D. Louis Collins
2009	J	`jnl`	A sequential Bayesian approach to color constancy using non-uniform filters. Comput. Vis. Image Underst. Sandra Skaff, Tal Arbel, James J. Clark
2009	—	`conf`	Automatically Learning Cortical Folding Patterns. ISBI Matthew Toews, D. Louis Collins, Tal Arbel
2009	J	`jnl`	Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion. IEEE Trans. Pattern Anal. Mach. Intell. Matthew Toews, Tal Arbel
2009	—	`conf`	Feature-Based Morphometry. MICCAI (1) Matthew Toews, William M. Wells III, D. Louis Collins, Tal Arbel
2009	—	`conf`	Learning a Tissue Invariant Ultrasound Speckle Decorrelation Model. ISBI Catherine Laporte, Tal Arbel
2008	J	`jnl`	Anytime similarity measures for faster alignment. Comput. Vis. Image Underst. Rupert Brooks, Tal Arbel, Doina Precup
2008	J	`jnl`	Combinatorial and Probabilistic Fusion of Noisy Correlation Measurements for Untracked Freehand 3-D Ultrasound. IEEE Trans. Medical Imaging Catherine Laporte, Tal Arbel
2008	—	`conf`	Deformable Ultrasound Registration without Reconstruction. MICCAI (2) Rupert Brooks, D. Louis Collins, Xavier Morandi, Tal Arbel
2007	—	`conf`	A Fractal Multi-Dimensional Ultrasound Scatterer Distribution Model. ISBI Catherine Laporte, James J. Clark, Tal Arbel
2007	J	`jnl`	A Statistical Parts-Based Model of Anatomical Variability. IEEE Trans. Medical Imaging Matthew Toews, Tal Arbel
2007	A*	`conf`	Detecting and Localizing 3D Object Classes using Viewpoint Invariant Reference Frames. ICCV Matthew Toews, Tal Arbel
2007	—	`conf`	Detecting, Localizing and Classifying Visual Traits from Arbitrary Viewpoints Using Probabilistic Local Feature Modeling. AMFG Matthew Toews, Tal Arbel
2007	A*	`conf`	Fast Image Alignment Using Anytime Algorithms. IJCAI Rupert Brooks, Tal Arbel, Doina Precup
2007	—	`conf`	Probabilistic Speckle Decorrelation for 3D Ultrasound. MICCAI (1) Catherine Laporte, Tal Arbel
2007	—	`conf`	The importance of scale when selecting pixels for image registration. CRV Rupert Brooks, Tal Arbel
2006	—	`conf`	A Statistical Parts-Based Appearance Model of Inter-subject Variability. MICCAI (1) Matthew Toews, D. Louis Collins, Tal Arbel
2006	—	`conf`	Bayesian MS Lesion Classification Modeling Regional and Local Spatial Information. ICPR (3) Rola Harmouche, D. Louis Collins, Douglas L. Arnold, Simon J. Francis, Tal Arbel
2006	—	`conf`	Detection Over Viewpoint via the Object Class Invariant. ICPR (1) Matthew Toews, Tal Arbel
2006	J	`jnl`	Efficient Discriminant Viewpoint Selection for Active Bayesian Recognition. Int. J. Comput. Vis. Catherine Laporte, Tal Arbel
2006	—	`conf`	Fundamental Matrix Estimation via TIP - Transfer of Invariant Parameters. ICPR (2) Frank Riggi, Matthew Toews, Tal Arbel
2006	—	`conf`	Generalizing inverse compositional image alignment. ICPR (2) Rupert Brooks, Tal Arbel
2005	—	`conf`	Maximum a Posteriori Local Histogram Estimation for Image Registration. MICCAI (2) Matthew Toews, D. Louis Collins, Tal Arbel
2004	—	`conf`	A Fast Discriminant Approach to Active Object Recognition and Pose Estimation. ICPR (3) Catherine Laporte, Rupert Brooks, Tal Arbel
2003	A*	`conf`	Entropy-of-likelihood Feature Selection for Image Correspondence. ICCV Matthew Toews, Tal Arbel
2002	—	`conf`	Active Bayesian Color Constancy with Non-Uniform Sensors. ICPR (2) Sandra Skaff, Tal Arbel, James J. Clark
2002	J	`jnl`	Interactive visual dialog. Image Vis. Comput. Tal Arbel, Frank P. Ferrie
2001	A	`conf`	Automatic Non-linear MRI-Ultrasound Registration for the Correction of Intra-operative Brain Deformations. MICCAI Tal Arbel, Xavier Morandi, Roch M. Comeau, D. Louis Collins
2001	J	`jnl`	Entropy-based gaze planning. Image Vis. Comput. Tal Arbel, Frank P. Ferrie
2001	J	`jnl`	On the Sequential Accumulation of Evidence. Int. J. Comput. Vis. Tal Arbel, Frank P. Ferrie
2000	A	`conf`	Interactive Visual Dialog. BMVC Tal Arbel, Frank P. Ferrie
2000	A	`conf`	Recognizing Objects From Curvilinear Motion. BMVC Tal Arbel, Frank P. Ferrie, Marcel Mitran
1999	A*	`conf`	Viewpoint Selection by Navigation through Entropy Maps. ICCV Tal Arbel, Frank P. Ferrie
1996	—	`conf`	Informative Views and Sequential Recognition. ECCV (1) Tal Arbel, Frank P. Ferrie
1996	J	`jnl`	Parametric shape recognition using a probabilistic inverse theory. Pattern Recognit. Lett. Tal Arbel, Peter Whaite, Frank P. Ferrie
1994	—	`conf`	Recognizing volumetric objects in the presence of uncertainty. ICPR (1) Tal Arbel, Peter Whaite, Frank P. Ferrie